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A compressible flow solver for high Thermobuoyant flow fields

Darbandi, M ; Sharif University of Technology | 2004

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  1. Type of Document: Article
  2. DOI: 10.2514/6.2004-2459
  3. Publisher: American Institute of Aeronautics and Astronautics Inc , 2004
  4. Abstract:
  5. The use of classical Bossiness approximation is a straightforward strategy to take into account the buoyancy effect in incompressible solvers. This strategy is highly effective if the density variation is low. However, ignoring the importance of density variation in high thermo buoyant flows can cause considerable deviation in predicting the correct fluid flow behavior and heat transfer phenomenon. Indeed, there are many technological and environmental problems where the Bossiness approximation is not valid. In this study, an incompressible algorithm is suitably extended in order to solve compressible flow problems with natural-convection heat transfer. In this regard, the density field is influenced by both temperature and pressure field variations. The key point in this research is the use of an ordinary incompressible algorithm which is able to solve compressible flow. In another words, to solve the ther-mobuoyant flow fields, a unified dual-characteristics algorithm is extended which is capable of solving the flow field in either a pure incompressible algorithm incorporated with the Bossiness approximation or in an entirely compressible algorithm. In fact, the two algorithms are essentially the same except for the source terms which appear in the governing equations. The extended algorithm is then tested by solving the benchmark convicting cavity configuration and analyzing the flow with heat transfer in low Mach number regimes. The results show that the method can vigorously solve the ther-mobuoyant flow fields involving a vast range of density variation. © 2004 by M. Darbandi
  6. Keywords:
  7. Approximation algorithms ; Mach number ; Incompressible flow ; Heat convection ; Compressible flow ; Buoyancy
  8. Source: 37th AIAA Thermophysics Conference 2004, Portland, OR, 28 June 2004 through 1 July 2004 ; 2004 ; 9781624100352 (ISBN)
  9. URL: https://arc.aiaa.org/doi/10.2514/6.2004-2459